The median software developer in the United States earned $135,980 in May 2025, according to the Bureau of Labor Statistics. In the UK, 73 percent of employers told ManpowerGroup's 2026 talent shortage survey that they cannot fill the roles they have open. Those two numbers explain most of why outsourcing to India is still the default answer for companies that need engineering capacity faster than their home market will supply it.
What has changed is the reasoning behind the decision. The old pitch was arbitrage. The current one is closer to supply.
Cost opens the conversation, it doesn't win the argument
In Deloitte's most recent Global Outsourcing Survey, 34 percent of executives named cost reduction as their primary driver, down from 70 percent in 2020. Talent access and delivery speed now sit alongside it, and in some sectors ahead of it.
That tracks with what happens in practice. A CTO who selects a partner purely on hourly rate usually pays twice, once for the build and once for the rebuild. The savings are real, but they come from a different labour market rather than from cutting corners, and the gap narrows every year. Senior engineers in Bengaluru and Hyderabad cost considerably more than they did three years ago, because every multinational with a captive centre in the same city is bidding for them.
Talent supply is the real reason outsourcing to India keeps working
India's tech industry is on track for roughly $315 billion in revenue in FY26, with $246 billion of that from exports, according to Nasscom's Annual Strategic Review. The sector employs close to 5.95 million people. The US takes around 53 percent of India's software services exports and the UK about 15.5 percent, which tells you this is a decades-old commercial relationship rather than an experiment.
Volume alone isn't the point. India produces about 2.55 million STEM graduates a year, and the India Skills Report 2026 puts employability at 80 percent for computer science graduates and 78 percent for IT engineering, against 70 percent for engineering graduates as a whole. Read that as a very large pool with genuine variance inside it. How you filter at the top of the funnel matters more than how wide the funnel is.
Nasscom also reports that more than two million professionals across the industry were upskilled in AI over the past year, including 200,000 to 300,000 in advanced AI skills. If you need a team that can build a retrieval pipeline or evaluate a model in production, that population exists in a way it simply didn't in 2022.
How these engagements are actually structured
Three models cover almost everything you'll be quoted for.
Dedicated teams
A ring-fenced group who work only on your product. A five-person team building a fintech MVP typically looks like two backend engineers, one frontend, one QA and a shared DevOps engineer, billed monthly against a six to twelve month commitment. You keep the product owner in house. The vendor absorbs recruitment, payroll and replacement risk. This is the right shape for anything with a roadmap rather than a finish line.
Fixed-scope projects
Useful when the work is genuinely defined: a payments integration, a legacy Java migration, a compliance reporting module. Fixed price is a bad fit for product discovery. If you can't write the acceptance criteria today, a fixed-price contract just converts every change into a negotiation and every negotiation into a delay.
Staff augmentation
Two or three engineers slotted into an existing squad, reporting into your leads. Cheapest to start, hardest to get right, because the onboarding burden falls on people who already have delivery targets.
The time zone question deserves an honest answer
India runs on GMT plus five and a half hours. For a London team that produces four to five hours of real overlap without anyone working antisocial hours, which is enough for a standup, a design review and same-day answers on blockers. It's the biggest structural advantage UK buyers have in this market and most of them underuse it.
For US companies it's harder, and pretending otherwise is how engagements go wrong in month three. New York sits nine and a half to ten and a half hours behind depending on the season, and the West Coast is worse. The overlap has to be manufactured: the India team works late afternoon into the evening, or your team takes early calls. Two to three hours is normal and workable, but only if the remaining hours run asynchronously with real discipline. Written specs, recorded demos, decisions logged where the whole team can read them rather than settled in a call nobody in Pune attended.
Captive centres have changed the market you're buying into
The Zinnov-Nasscom landscape report counted 2,117 global capability centres operating in India as of March 2026, spread across 3,728 units and up 32 percent since FY2021. More than 500 Forbes Global 2000 companies run one.
This sounds like enterprise news, but it affects a thirty-person startup directly. Those centres recruit from the same pool your partner does, and they pay well. The expectations of a competent Indian engineer have risen accordingly, attrition is a live risk on any engagement longer than a year, and the vendors competing hardest on price are the ones who lose people first. Ask a prospective partner what their attrition rate looked like last year, and what happens contractually when a named engineer leaves. A vague answer is still an answer.
What India offers that the alternatives don't
Poland, Portugal, Vietnam and the Latin American markets all deliver good software, and for some buyers they're the better call. What none of them match is depth. A workforce approaching six million means you can staff a Rust team, a mainframe modernisation team and a clinical data team from the same country, often from the same vendor, and scale any of them from three people to thirty without restarting your search.
The second advantage is the maturity of the buying process itself. Indian firms have been selling to UK and US clients for thirty years. Contract templates, security certifications, notice periods and escalation paths are all standardised, which removes a category of friction that newer markets are still working through.
Where India loses is on hours. If your work needs constant live collaboration with a San Francisco team, a nearshore partner in Mexico or Colombia will beat it on overlap and no amount of process design closes that gap.
Where IT outsourcing engagements go wrong
Rarely for technical reasons. Three patterns account for most of the failures.
Buying on rate is the first. A quote that undercuts the market by half is usually staffed by people who were hired on that same logic, and you will meet the consequences during your second year of scale, not your first sprint.
The second is having nobody accountable on your side. A dedicated team without an engaged product owner drifts within weeks. Someone in your organisation has to own priorities, answer questions the same day and say no to scope.
The third is paperwork nobody read. IP assignment needs to be explicit and in writing. If UK personal data is involved you need a data processing agreement that stands up under UK GDPR, with a lawful transfer mechanism in place. Name your key personnel in the contract. Define what handover looks like on exit, including code, credentials and documentation. Established Indian firms handle all of this routinely, so when it's missing, the gap is usually on the buyer's side for never asking.
Outsourcing to India stopped being a discount decision some time ago. It's a way of buying into a labour market that is deeper than yours and still cheaper, and the companies that do well from it treat the arrangement as a team extension rather than a purchase order. Larainfotech works with UK and US clients on exactly this kind of engagement, and the pattern is consistent: the ones that last are the ones where the client stayed involved. Rates, tooling and market conditions in this sector move fast, so treat these figures as a current snapshot and check the latest position before committing budget.
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LaraInfotech Admin
Verified AuthorEngineering team at LaraInfotech specializing in Laravel development, mobile apps, enterprise cloud architecture, and AI integration.
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